000 02582nam a22003618i 4500
001 CR9780511760419
003 UkCbUP
005 20200124160304.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 100506s2011||||enk o ||1 0|eng|d
020 _a9780511760419 (ebook)
020 _z9780521113663 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aTA352
_b.W47 2011
082 0 0 _a003/.72
_222
100 1 _aWest, Bruce J.,
_eauthor.
245 1 0 _aComplex Webs :
_bAnticipating the Improbable /
_cBruce J. West, Paolo Grigolini.
264 1 _aCambridge :
_bCambridge University Press,
_c2011.
300 _a1 online resource (x, 375 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 8 _aMachine generated contents note: 1. Webs; 2. Webs, trees and branches; 3. Mostly linear dynamics; 4. Random walks and chaos; 5. Non-analytic dynamics; 6. Brief recent history of webs; 7. Dynamics of chance; 8. Synopsis.
520 _aComplex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading. With explanations of phenomena, diagrams, end-of-chapter problems, and worked examples, it is ideal for advanced undergraduate and graduate students in engineering and the life, social, and physical sciences. It is also a perfect introduction for researchers who are interested in this exciting new way of viewing dynamic networks.
650 0 _aDynamics
_xStatistical methods.
650 0 _aInverse relationships (Mathematics)
650 0 _aInverse problems (Differential equations)
700 1 _aGrigolini, Paolo,
_d1940-
_eauthor.
776 0 8 _iPrint version:
_z9780521113663
856 4 0 _uhttps://doi.org/10.1017/CBO9780511760419
999 _c520608
_d520606